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Mmt Api Best Practices

Listed
emeraldls·vlatest·backend

Helps with API, best practices as part of agent workflows workflows.

Repository

Install on your platform

Showing Claude Code. One command installs this skill into any of the agents below.

  1. 1

    Run this in your project

    terminal
    $ npx skills add emeraldls/mmt-api-skills --skill mmt-api-best-practices -a claude-code

  2. Uses the open-source skills CLI and needs Node.js. Add -g to install it for your user instead of this project.

What we know about this skill

Publisher

emeraldls

Taken from the source listing. We haven't verified who controls this account.

Install target

Live repository

Not pinned. Installing fetches whatever the repository holds at the time you run the command.

No human has reviewed this code. The checks below are a static scan of the files at one commit — nobody has run this skill or judged whether it works. A skill runs with whatever access you give your agent, so read the source before you install it.

Automated safety checks

scanned

This skill failed 1 of 6 checks. A failure is not proof of bad intent; it means something in the code needs a human to look at it before you run it.

  • No undeclared network calls: failed

    Contacts 1 host that is neither well-known infrastructure nor declared in the skill's frontmatter: eu-central-1.mmt.gg.

    Every host the skill dials — from its scripts, its config endpoints or the commands it tells the agent to run — is either well-known package and API infrastructure or declared in its own frontmatter. Links in documentation are not counted.

    Hosts contacted

    eu-central-1.mmt.ggundeclared

    What it found (3 of 10)

    • skills/mmt-api-best-practices/rules/aggregation-multi-exchange.md:67contacts eu-central-1.mmt.gg
      const res = await fetch(`https://eu-central-1.mmt.gg/api/v1/stats?${params}`, {
    • skills/mmt-api-best-practices/rules/aggregation-multi-exchange.md:120contacts eu-central-1.mmt.gg
      const markets = await fetch("https://eu-central-1.mmt.gg/api/v1/markets", {
    • skills/mmt-api-best-practices/rules/data-symbol-normalization.md:23contacts eu-central-1.mmt.gg
      const res = await fetch("https://eu-central-1.mmt.gg/api/v1/markets", {

  • Declares what it does: passed

    SKILL.md parses and declares a name and a description.

    SKILL.md exists, its frontmatter parses, and it declares a name and a description.

  • No obfuscated payloads: passed

    No encoded or obfuscated payloads.

    No base64, hex or compressed blob is decoded and then executed, and no encoded shell commands.

  • No credential access: passed

    Reads no keys, tokens, keychains or credential files.

    Neither the code nor the SKILL.md instructions read SSH keys, cloud credentials, keychains, token stores, browser cookie databases or dotfiles that hold secrets.

  • No pipe-to-shell installers: passed

    No pipe-to-shell or download-and-run installers.

    No `curl … | sh` pattern, in the code or in the instructions, that runs code fetched at run time.

  • Pinned to a commit: passed

    Scanned emeraldls/mmt-agent-skills at 96a63d0bd2.

    The exact upstream commit SHA that was scanned is recorded, so the result refers to specific bytes.

Commit
96a63d0bd2
Manifest
skills/mmt-api-best-practices/SKILL.md
Scanned
22 files, 3,505 lines
This is a static scan, not a review. It reads the skill's files; it does not run them, and it cannot tell you whether the skill is any good or whether the code does what its description says. A skill runs with whatever access you give your agent.
What each check looks for →

About this skill

What it does

This skill provides guidance and best practices for interacting with the MMT API. It helps ensure efficient and reliable data retrieval and manipulation, focusing on optimizing requests and handling responses effectively. The skill aims to improve agent performance when working with MMT data sources.

When to use it

  • When building an AI agent that needs to retrieve or update information from the MMT API.
  • To troubleshoot issues related to slow response times or errors when using the MMT API.
  • For agents needing to automate tasks involving MMT data, such as report generation or data synchronization.
  • During development and testing of integrations with the MMT platform.

Key capabilities

  • Provides optimized request formatting for the MMT API.
  • Offers strategies for handling rate limits and errors.
  • Includes guidance on efficient data filtering and retrieval from MMT.
  • Suggests best practices for managing authentication tokens.

Example prompts

  • "How can I optimize my MMT API requests to reduce latency?"
  • "What's the best way to handle 429 errors when using the MMT API?"
  • "Can you show me an example of a properly formatted request for retrieving data from the MMT API?"

Tips & gotchas

The skill assumes familiarity with basic API concepts. Ensure your agent has appropriate authentication credentials configured before utilizing this skill to interact with the MMT API.